Cargando…
Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System
IMPORTANCE: Clinical experience suggests that there are substantial differences in patient complexity across medical specialties, but empirical data are lacking. OBJECTIVE: To compare the complexity of patients seen by different types of physician in a universal health care system. DESIGN, SETTING,...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324421/ https://www.ncbi.nlm.nih.gov/pubmed/30646392 http://dx.doi.org/10.1001/jamanetworkopen.2018.4852 |
_version_ | 1783385969180803072 |
---|---|
author | Tonelli, Marcello Wiebe, Natasha Manns, Braden J. Klarenbach, Scott W. James, Matthew T. Ravani, Pietro Pannu, Neesh Himmelfarb, Jonathan Hemmelgarn, Brenda R. |
author_facet | Tonelli, Marcello Wiebe, Natasha Manns, Braden J. Klarenbach, Scott W. James, Matthew T. Ravani, Pietro Pannu, Neesh Himmelfarb, Jonathan Hemmelgarn, Brenda R. |
author_sort | Tonelli, Marcello |
collection | PubMed |
description | IMPORTANCE: Clinical experience suggests that there are substantial differences in patient complexity across medical specialties, but empirical data are lacking. OBJECTIVE: To compare the complexity of patients seen by different types of physician in a universal health care system. DESIGN, SETTING, AND PARTICIPANTS: Population-based retrospective cohort study of 2 597 127 residents of the Canadian province of Alberta aged 18 years and older with at least 1 physician visit between April 1, 2014 and March 31, 2015. Data were analyzed in September 2018. EXPOSURES: Type of physician seeing each patient (family physician, general internist, or 11 types of medical subspecialist) assessed as non–mutually exclusive categories. MAIN OUTCOMES AND MEASURES: Nine markers of patient complexity (number of comorbidities, presence of mental illness, number of types of physicians involved in each patient’s care, number of physicians involved in each patient’s care, number of prescribed medications, number of emergency department visits, rate of death, rate of hospitalization, rate of placement in a long-term care facility). RESULTS: Among the 2 597 127 participants, the median (interquartile range) age was 46 (32-59) years and 54.1% were female. Over 1 year of follow-up, 21 792 patients (0.8%) died, the median (range) number of days spent in the hospital was 0 (0-365), 8.1% of patients had at least 1 hospitalization, and the median (interquartile range) number of prescribed medications was 3 (1-7). When the complexity markers were considered individually, patients seen by nephrologists had the highest mean number of comorbidities (4.2; 95% CI, 4.2-4.3 vs [lowest] 1.1; 95% CI, 1.0-1.1), highest mean number of prescribed medications (14.2; 95% CI, 14.2-14.3 vs [lowest] 4.9; 95% CI, 4.9-4.9), highest rate of death (6.6%; 95% CI, 6.3%-6.9% vs [lowest] 0.1%; 95% CI, <0.1%-0.2%), and highest rate of placement in a long-term care facility (2.0%; 95% CI, 1.8%-2.2% vs [lowest] <0.1%; 95% CI, <0.1%-0.1%). Patients seen by infectious disease specialists had the highest complexity as assessed by the other 5 markers: rate of a mental health condition (29%; 95% CI, 28%-29% vs [lowest] 14%; 95% CI, 14%-14%), mean number of physician types (5.5; 95% CI, 5.5-5.6 vs [lowest] 2.1; 95% CI, 2.1-2.1), mean number of physicians (13.0; 95% CI, 12.9-13.1 vs [lowest] 3.8; 95% CI, 3.8-3.8), mean days in hospital (15.0; 95% CI, 14.9-15.0 vs [lowest] 0.4; 95% CI, 0.4-0.4), and mean emergency department visits (2.6; 95% CI, 2.6-2.6 vs [lowest] 0.5; 95% CI, 0.5-0.5). When types of physician were ranked according to patient complexity across all 9 markers, the order from most to least complex was nephrologist, infectious disease specialist, neurologist, respirologist, hematologist, rheumatologist, gastroenterologist, cardiologist, general internist, endocrinologist, allergist/immunologist, dermatologist, and family physician. CONCLUSION AND RELEVANCE: Substantial differences were found in 9 different markers of patient complexity across different types of physician, including medical subspecialists, general internists, and family physicians. These findings have implications for medical education and health policy. |
format | Online Article Text |
id | pubmed-6324421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-63244212019-01-22 Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System Tonelli, Marcello Wiebe, Natasha Manns, Braden J. Klarenbach, Scott W. James, Matthew T. Ravani, Pietro Pannu, Neesh Himmelfarb, Jonathan Hemmelgarn, Brenda R. JAMA Netw Open Original Investigation IMPORTANCE: Clinical experience suggests that there are substantial differences in patient complexity across medical specialties, but empirical data are lacking. OBJECTIVE: To compare the complexity of patients seen by different types of physician in a universal health care system. DESIGN, SETTING, AND PARTICIPANTS: Population-based retrospective cohort study of 2 597 127 residents of the Canadian province of Alberta aged 18 years and older with at least 1 physician visit between April 1, 2014 and March 31, 2015. Data were analyzed in September 2018. EXPOSURES: Type of physician seeing each patient (family physician, general internist, or 11 types of medical subspecialist) assessed as non–mutually exclusive categories. MAIN OUTCOMES AND MEASURES: Nine markers of patient complexity (number of comorbidities, presence of mental illness, number of types of physicians involved in each patient’s care, number of physicians involved in each patient’s care, number of prescribed medications, number of emergency department visits, rate of death, rate of hospitalization, rate of placement in a long-term care facility). RESULTS: Among the 2 597 127 participants, the median (interquartile range) age was 46 (32-59) years and 54.1% were female. Over 1 year of follow-up, 21 792 patients (0.8%) died, the median (range) number of days spent in the hospital was 0 (0-365), 8.1% of patients had at least 1 hospitalization, and the median (interquartile range) number of prescribed medications was 3 (1-7). When the complexity markers were considered individually, patients seen by nephrologists had the highest mean number of comorbidities (4.2; 95% CI, 4.2-4.3 vs [lowest] 1.1; 95% CI, 1.0-1.1), highest mean number of prescribed medications (14.2; 95% CI, 14.2-14.3 vs [lowest] 4.9; 95% CI, 4.9-4.9), highest rate of death (6.6%; 95% CI, 6.3%-6.9% vs [lowest] 0.1%; 95% CI, <0.1%-0.2%), and highest rate of placement in a long-term care facility (2.0%; 95% CI, 1.8%-2.2% vs [lowest] <0.1%; 95% CI, <0.1%-0.1%). Patients seen by infectious disease specialists had the highest complexity as assessed by the other 5 markers: rate of a mental health condition (29%; 95% CI, 28%-29% vs [lowest] 14%; 95% CI, 14%-14%), mean number of physician types (5.5; 95% CI, 5.5-5.6 vs [lowest] 2.1; 95% CI, 2.1-2.1), mean number of physicians (13.0; 95% CI, 12.9-13.1 vs [lowest] 3.8; 95% CI, 3.8-3.8), mean days in hospital (15.0; 95% CI, 14.9-15.0 vs [lowest] 0.4; 95% CI, 0.4-0.4), and mean emergency department visits (2.6; 95% CI, 2.6-2.6 vs [lowest] 0.5; 95% CI, 0.5-0.5). When types of physician were ranked according to patient complexity across all 9 markers, the order from most to least complex was nephrologist, infectious disease specialist, neurologist, respirologist, hematologist, rheumatologist, gastroenterologist, cardiologist, general internist, endocrinologist, allergist/immunologist, dermatologist, and family physician. CONCLUSION AND RELEVANCE: Substantial differences were found in 9 different markers of patient complexity across different types of physician, including medical subspecialists, general internists, and family physicians. These findings have implications for medical education and health policy. American Medical Association 2018-11-30 /pmc/articles/PMC6324421/ /pubmed/30646392 http://dx.doi.org/10.1001/jamanetworkopen.2018.4852 Text en Copyright 2018 Tonelli M et al. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Tonelli, Marcello Wiebe, Natasha Manns, Braden J. Klarenbach, Scott W. James, Matthew T. Ravani, Pietro Pannu, Neesh Himmelfarb, Jonathan Hemmelgarn, Brenda R. Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System |
title | Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System |
title_full | Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System |
title_fullStr | Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System |
title_full_unstemmed | Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System |
title_short | Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System |
title_sort | comparison of the complexity of patients seen by different medical subspecialists in a universal health care system |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324421/ https://www.ncbi.nlm.nih.gov/pubmed/30646392 http://dx.doi.org/10.1001/jamanetworkopen.2018.4852 |
work_keys_str_mv | AT tonellimarcello comparisonofthecomplexityofpatientsseenbydifferentmedicalsubspecialistsinauniversalhealthcaresystem AT wiebenatasha comparisonofthecomplexityofpatientsseenbydifferentmedicalsubspecialistsinauniversalhealthcaresystem AT mannsbradenj comparisonofthecomplexityofpatientsseenbydifferentmedicalsubspecialistsinauniversalhealthcaresystem AT klarenbachscottw comparisonofthecomplexityofpatientsseenbydifferentmedicalsubspecialistsinauniversalhealthcaresystem AT jamesmatthewt comparisonofthecomplexityofpatientsseenbydifferentmedicalsubspecialistsinauniversalhealthcaresystem AT ravanipietro comparisonofthecomplexityofpatientsseenbydifferentmedicalsubspecialistsinauniversalhealthcaresystem AT pannuneesh comparisonofthecomplexityofpatientsseenbydifferentmedicalsubspecialistsinauniversalhealthcaresystem AT himmelfarbjonathan comparisonofthecomplexityofpatientsseenbydifferentmedicalsubspecialistsinauniversalhealthcaresystem AT hemmelgarnbrendar comparisonofthecomplexityofpatientsseenbydifferentmedicalsubspecialistsinauniversalhealthcaresystem |